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Nouvelles stratégies d'analyses et de prédiction des structures tridimensionnelles des protéines

Abstract : The secondary structures approximate badly the 3D protein structures. A new method have been developped to create a more complex and precise structural alphabet (called Protein Blocks) which could be used in a local prediction method. The analysis of the specificity and stability of this alphabet has been performed. This alphabet is composed of 16 prototypes of 5 Cα length. The local prediction of PBs from the sequence gives correct results.
The prediction is based on Bayesian statistics which is efficient to understand the meaning and influences of every amino acids. To improve this prediction, we have used two concepts : (i) 1 local fold is associated with a set of sequences and (ii) 1 sequence could give different folds. The first point is associated with the splitting of occurrence matrices associated with the most common PBs. The second point is based upon a confidence index and allow the location of well-predicted residues. Some succession of Protein Blocks are over-represented. So, we have define a network describing most of the protein topology.
Finally, we propose a method called Hybrid Protein Model which allow the compaction of succession of Protein Blocks in a fuzzy manner and create structurally dependant cluster. This approach has been extended to the research of structural homology.
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Contributor : Alexandre G. de Brevern <>
Submitted on : Wednesday, February 28, 2007 - 3:16:49 PM
Last modification on : Tuesday, November 3, 2020 - 11:18:02 AM
Long-term archiving on: : Friday, November 25, 2016 - 2:52:15 PM


  • HAL Id : tel-00133819, version 1



Alexandre de Brevern. Nouvelles stratégies d'analyses et de prédiction des structures tridimensionnelles des protéines. Biochimie [q-bio.BM]. Université Paris-Diderot - Paris VII, 2001. Français. ⟨tel-00133819⟩



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